Comments (4)
sbmaruf
commented on May 26, 2024
1
So far I know, the original author, @glample run the code in a cpu.
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glample
commented on May 26, 2024
1
Unfortunately no, batch training was never implemented. The model was already converging fast enough on a CPU for the CoNLL datasets. Also, in my experiments the model was running faster on CPU than on GPU.
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nayakt
commented on May 26, 2024
I am able to run it in GPU, but looks like it is running with batch size 1. Is there a easy way to increase the batch size?
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nayakt
commented on May 26, 2024
Ok. Thanks !!!
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Related Issues (20)
- utils.py issue line 303 list index out of range HOT 8
- Why my program goes into infinite loop? HOT 2
- Can you
- Can my Chinese data be used in this program?(character-level) HOT 3
- Which tokenizer did you use? HOT 11
- Script for training embeddings HOT 9
- IOError "No such file or directory: './evaluation/temp/eval.1181043.scores " HOT 3
- SGD x Adam HOT 2
- Are you planning to release models in German, Spanish and Dutch as well? HOT 1
- Confidence score for the predicted entity HOT 4
- Data size and decoding time
- Pretrained word embedding HOT 5
- Confusion about lable conversion. HOT 2
- Inconsistent conversion for IOBES to IOB HOT 1
- Token level or Entity level? HOT 2
- Equations of LSTM
- transition scores HOT 1
- How to set the parameters of a small dataset？ HOT 1
- . HOT 1
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